Triple

T21666216
Position Surface form Disambiguated ID Type / Status
Subject Isinay E534723 entity
Predicate hasGrammaticalCharacteristic P7162 FINISHED
Object structures that differ from typical Philippine-type voice systems LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: structures that differ from typical Philippine-type voice systems | Statement: [Isinay, hasGrammaticalCharacteristic, structures that differ from typical Philippine-type voice systems]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGrammaticalCharacteristic
Context triple: [Isinay, hasGrammaticalCharacteristic, structures that differ from typical Philippine-type voice systems]
  • A. grammaticalForm
    Indicates the specific grammatical structure or morphological form that an expression or word takes in a given linguistic context.
  • B. hasGrammaticalGender
    Indicates that one entity assigns or possesses a specific grammatical gender in relation to another entity (such as a word, phrase, or linguistic unit).
  • C. grammaticalType
    Indicates the grammatical category or role (such as part of speech or syntactic function) that an expression has within a language.
  • D. linguisticFeature
    Indicates a relationship where a linguistic property, pattern, or characteristic is attributed to or associated with a language-related entity (such as a word, phrase, or text).
  • E. hasLinguisticFeature chosen
    Indicates that an entity possesses a particular linguistic property, trait, or characteristic.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0c236881909ffaefea8601b1c2 completed April 27, 2026, 2 p.m.
PD Predicate disambiguation batch_69e6968abfdc81909cf9e0bd72db9eca completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:37 p.m.